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The role of metacognitive skills in learning to solve problems

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KM, but one can assume they had at least tacit knowledge about management<br />

<strong>in</strong> general. <strong>The</strong> academics and the managers did not receive the<br />

article before play<strong>in</strong>g the game. One can assume that all participants<br />

had at least rudimentary knowledge available about the doma<strong>in</strong> <strong>of</strong> KM<br />

and more specifically about the model <strong>of</strong> Wiig et al. (1997).<br />

3.2.4 Summary <strong>of</strong> results & conclusions<br />

<strong>The</strong> teams <strong>to</strong>ok approximately four hours <strong>to</strong> go through all four<br />

events. <strong>The</strong>y formulated between 23 and 45 proposals per event. Not all<br />

proposals concerned <strong>in</strong>terventions. Some <strong>of</strong> them concerned knowledge<br />

management activities that focused on analys<strong>in</strong>g the knowledge household<br />

<strong>of</strong> Coltec and some were not related <strong>to</strong> Knowledge Management<br />

activities. In table 3.1 an overview is given <strong>of</strong> the most salient results.<br />

Event NA % I (AI) % M % NO<br />

Decl<strong>in</strong>e <strong>of</strong> chemistry students 45 85 (69) 6 9<br />

Differences <strong>in</strong> productivity 45 40 (33) 35 25<br />

New legislation 47 57 (51) 11 32<br />

Competition clause 20 60 (50) 25 15<br />

Table 3.1. Ma<strong>in</strong> results for the four events <strong>of</strong> the Coltec case. (NA = Number<br />

<strong>of</strong> Actions, I = Interventions, AI = Appropriate Interventions, M = Management<br />

activities, NO = NOt KM-related actions)<br />

Several conclusions can be drawn from this explora<strong>to</strong>ry study that<br />

guide the design <strong>of</strong> a simulation-game for the doma<strong>in</strong> <strong>of</strong> KM.<br />

Players act upon the <strong>in</strong>struction given and write down their actions<br />

for the events. <strong>The</strong>y engage <strong>in</strong> relevant discussions about the doma<strong>in</strong><br />

<strong>of</strong> KM and they try <strong>to</strong> <strong>solve</strong> the <strong>problems</strong> stated <strong>in</strong> the events. <strong>The</strong><br />

actions <strong>in</strong>clude appropriate <strong>in</strong>terventions for the events. <strong>The</strong> percentage<br />

<strong>of</strong> appropriate <strong>in</strong>terventions ranges between 33 and 69%. A m<strong>in</strong>ority<br />

<strong>of</strong> the actions refer <strong>to</strong> management activities. This percentage ranges<br />

between 6 and 35%. Some actions are not related <strong>to</strong> the doma<strong>in</strong> <strong>of</strong><br />

KM. For <strong>in</strong>stance, a typical action <strong>of</strong> players for event 4 is <strong>to</strong> buy the<br />

competi<strong>to</strong>r <strong>in</strong> order <strong>to</strong> retrieve the knowledge <strong>of</strong> the former employee<br />

who is work<strong>in</strong>g for the competi<strong>to</strong>r. This is not a KM-related action.<br />

<strong>The</strong> percentage <strong>of</strong> non-KM related actions ranges between 9 and 32%.<br />

<strong>The</strong> question is, however, <strong>to</strong> what extent the KM model as described<br />

by Wiig et al. was used <strong>in</strong> order <strong>to</strong> come <strong>to</strong> the <strong>in</strong>terventions proposed.<br />

<strong>The</strong> article about methods and techniques <strong>in</strong> KM that was distributed<br />

beforehand gave a rather static image <strong>of</strong> how <strong>to</strong> <strong>solve</strong> KM <strong>problems</strong>. In

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